Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.12077.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:16:20.054485Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T21:36:14.367779Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e36dbd80-8242-4f5d-b36d-18cfb67fbf4b · inbound
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning cites this paper.
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:16:20.054485Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5109a3e4-46d6-4c05-8712-f734fc9d1172 · inbound
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning cites this paper.
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:55:42.848632Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b77b9c8c-ef4b-418e-a070-ef356d173462 · inbound
EndoGov: A knowledge-governed multi-agent expert system for endometrial cancer risk stratification cites this paper.
EndoGov: A knowledge-governed multi-agent expert system for endometrial cancer risk stratification CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:36:14.372370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.